Triple
T19564046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baishan Dam |
E489531
|
entity |
| Predicate | downstreamFrom |
P5956
|
FINISHED |
| Object | Hongshi Dam |
—
|
NE NERFINISHED |
How this triple was built (3 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Hongshi Dam | Statement: [Baishan Dam, downstreamFrom, Hongshi Dam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hongshi Dam Context triple: [Baishan Dam, downstreamFrom, Hongshi Dam]
-
A.
Shuibuya Dam
Shuibuya Dam is a major concrete-face rock-fill dam on China’s Qing River, known for its large hydroelectric power station and significant role in regional flood control and water management.
-
B.
Dagangshan Dam
Dagangshan Dam is a large concrete arch dam and hydroelectric power station in Sichuan, China, known for harnessing the Dadu River to generate significant renewable energy.
-
C.
Gezhouba Dam
Gezhouba Dam is a large hydroelectric gravity dam in Yichang, Hubei, China, notable as the first major dam built on the Yangtze River and an important source of power generation and river navigation control.
-
D.
Huangjinping Dam
Huangjinping Dam is a large hydroelectric dam complex in China that harnesses the flow of the Dadu River to generate power.
-
E.
Geheyan Dam
Geheyan Dam is a large concrete gravity dam on the Qing River in Hubei, China, primarily used for hydroelectric power generation and flood control.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hongshi Dam Target entity description: Hongshi Dam is a large hydroelectric dam on the Second Songhua River in Jilin Province, China, forming a major reservoir used for power generation, flood control, and regional water management.
-
A.
Shuibuya Dam
Shuibuya Dam is a major concrete-face rock-fill dam on China’s Qing River, known for its large hydroelectric power station and significant role in regional flood control and water management.
-
B.
Dagangshan Dam
Dagangshan Dam is a large concrete arch dam and hydroelectric power station in Sichuan, China, known for harnessing the Dadu River to generate significant renewable energy.
-
C.
Gezhouba Dam
Gezhouba Dam is a large hydroelectric gravity dam in Yichang, Hubei, China, notable as the first major dam built on the Yangtze River and an important source of power generation and river navigation control.
-
D.
Huangjinping Dam
Huangjinping Dam is a large hydroelectric dam complex in China that harnesses the flow of the Dadu River to generate power.
-
E.
Geheyan Dam
Geheyan Dam is a large concrete gravity dam on the Qing River in Hubei, China, primarily used for hydroelectric power generation and flood control.
- F. None of above. chosen
Provenance (2 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8dc5d8c8190a6d7bd8864f43ca0 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63f75b2d481909fa3f603fe6bd5bd |
completed | April 20, 2026, 3 p.m. |
Created at: April 10, 2026, 1:42 p.m.